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"affective forecasting" is correct and usable in written English
It is a term used to describe the process of predicting how one will feel in the future, based on current emotions and anticipated events. For example, you might use affective forecasting to decide whether or not to go out with a group of friends, estimating that you would feel better if you stayed in and watched a movie.
Exact(29)
But that's the thing about affective forecasting: we can't trust our own predictions.
While Gilbert's most notable contribution to affective forecasting is the impact bias, Loewenstein's is something called the "empathy gap".
He sees a role for affective forecasting in consumer spending, where a "cooling off" period might remedy buyer's remorse.
Even so, Gilbert is currently working on a complex experiment in which he has made affective forecasting errors "go away".
The research on affective forecasting suggests that people may have little ability to anticipate their adaptation beyond the early stages".
To use affective forecasting to prove that people adapt to serious physical challenges far better and will be happier than they imagine, Loewenstein says, could prove invaluable.
Similar(31)
We propose a revised response expectancy model, in which affective forecasts are a subgroup of response expectancies, referring to emotional outcomes.
If he could wave a wand tomorrow and eliminate all affective-forecasting errors, I ask, would he? "The benefits of not making this error would seem to be that you get a little more happiness," he says.
Our results also show that if investors do not form a strong initial affective reaction to the initial erroneous forecast, they are less prone to over-adjustment when the correction is later received.
It provides an innovative method for forecasting artificial emotions and designing an affective decision system.
One possible reason could be that the actual affective experience or associated processing may be more strongly associated with behavioral change than its anticipation, which may be subject to forecasting errors [ 23].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com